The design and analysis of spatial data structures
The design and analysis of spatial data structures
On the sectional area of convex polytopes
Proceedings of the twelfth annual symposium on Computational geometry
Range searching and point location among fat objects
Journal of Algorithms
Computational Geometry: Theory and Applications
SWAT '98 Proceedings of the 6th Scandinavian Workshop on Algorithm Theory
Vertical ray shooting and computing depth orders for fat objects
SODA '06 Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm
Approximate range searching using binary space partitions
Computational Geometry: Theory and Applications
Decompositions and Boundary Coverings of Non-convex Fat Polyhedra
ESA '08 Proceedings of the 16th annual European symposium on Algorithms
Binary plane partitions for disjoint line segments
Proceedings of the twenty-fifth annual symposium on Computational geometry
Decompositions and boundary coverings of non-convex fat polyhedra
Computational Geometry: Theory and Applications
Delaunay Triangulation of Imprecise Points Simplified and Extended
WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
Approximate range searching using binary space partitions
Computational Geometry: Theory and Applications
Approximate range searching in external memory
ISAAC'07 Proceedings of the 18th international conference on Algorithms and computation
Approximate range searching using binary space partitions
FSTTCS'04 Proceedings of the 24th international conference on Foundations of Software Technology and Theoretical Computer Science
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In recent years realistic input models for geometric algorithms have been studied. The most important models introduced are fatness, low density, unclutteredness and small simple-cover complexity. These models form a strict hierarchy. Unfortunately, small simple-cover complexity is often too general to enable efficient algorithms. In this paper we introduce a new model based on guarding sets. Informally, a guarding set for a collection of objects is a set of points that approximates the distribution of the objects. Any axis-parallel hyper-cube that contains no guards in its interior may intersect at most a constant number of objects. We show that guardable scenes fit in between unclutteredness and small simple-cover complexity. They do enable efficient algorithms, for example a linear size binary space partition. We study properties of guardable scenes and give heuristic algorithms to compute small guarding sets.